Instructions to use hf-internal-testing/tiny-random-MCTCTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MCTCTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MCTCTModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MCTCTModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 393d1a1bc96e54c77126ab8c574443785e6d03d1fd8ab52486cb5bfc10eb061d
- Size of remote file:
- 23.2 MB
- SHA256:
- 8aebd93a8209bf808ba4e8c18c942e0d3e3424ded5d87b5a8abef5f77313b195
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